Using Discrepancy Theory to Improve the Design of Randomized Controlled Trials - Daniel Spielman

Using Discrepancy Theory to Improve the Design of Randomized Controlled Trials - Daniel Spielman

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What are randomized control trials

2 of 29

2 of 29

What are randomized control trials

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Using Discrepancy Theory to Improve the Design of Randomized Controlled Trials - Daniel Spielman

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  1. 1 Introduction
  2. 2 What are randomized control trials
  3. 3 Potential outcomes model
  4. 4 Experimental design
  5. 5 Average treatment effect
  6. 6 Thompson estimator
  7. 7 Difference of means
  8. 8 Measuring variance
  9. 9 Variance expression
  10. 10 IID case
  11. 11 Balanced design
  12. 12 Covariance
  13. 13 Gramschmidt walk
  14. 14 Variance
  15. 15 Tradeoff parameter
  16. 16 Guarantees
  17. 17 Sub Gaussian tails
  18. 18 Algorithm explanation
  19. 19 Algorithm analysis
  20. 20 Projections
  21. 21 Two crucial factors
  22. 22 Intuition for variance calculation
  23. 23 Ideal case
  24. 24 Phases
  25. 25 Variance bound
  26. 26 Orthonormal basis
  27. 27 Can we improve
  28. 28 The gramschmidt walk
  29. 29 Better confidence intervals

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